Is this you? Claim this profile to correct it, add a bio and choose the work people see first.
Claim this profileWorks224 from public data
- RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose496
This work empirically explore key factors in pose estimation including paradigm, model architecture, training strategy, and deployment, and presents a high-performance real-time multi-person pose estimation framework, RTMPose, based on MMPose.
- 274
- XingGAN for Person Image Generation197
A novel Generative Adversarial Network (XingGAN or CrossingGAN) for person image generation tasks, i.e., translating the pose of a given person to a desired one to mutually improve each other is proposed.
- A Closed-Form Solution to Universal Style Transfer93
A novel interpretation of feature transform is proposed by treating it as the optimal transport problem and a closed-form solution named Optimal Style Transfer (OST) is derived under this formulation by additionally considering the content loss of Gatys.
- 86
- 85
- 81
- 76
- Motion Vector Coding and Block Merging in the Versatile Video Coding Standard72
The design principles and the implementation of the new inter-prediction methods in VVC can jointly achieve 6.2% and 4.7% BD-rate savings on average with the random access and low-delay configurations, respectively.
- H-Walk: hierarchical distance computation for moving convex bodies72
This paper presents the Hierarchical Walk, or H-Walk al- algorithm, which maintains the distance between two moving convex bodies by exploiting both motion coherence and hierarchical representations, and proves that H-Walk improves on the classic Lin-Canny and Dobkin-Kirkpatrick algorithms.
- 70
- A unified framework for document restoration using inpainting and shape-from-shading68
A restoration framework based on an image inpainting procedure that can separate non-uniform illumination (and other) artifacts from the printed content and a shape-from-shading formulation that can reconstruct the 3D shape of the document's surface that can correct a variety of distortions.
- 64
- 56
- Coding tools investigation for next generation video coding based on HEVC56
Simulation results show that significant performance improvement over HEVC standard can be achieved, especially for the high resolution video materials.
- 45
- A practical evaluation of kinetic data structures42
Some preliminary results on the maintenance of the convex hull are reported, the experimental setup is described, three alternative methods are compared, the value of the measures of quality for KDSS proposed by [BGH97], and some important numerical issues are highlighted.
- Direct Speech-to-Image Translation37
Experimental results on both synthesized and real data show that the proposed method is effective to translate the raw speech signals into images without the middle text representation.
- 37
- 35
- 35
- 32
- 30
- 29
- 29
- 27
- 26
- 25
- 24
- 24
- 24
- 23
- 23
- 21
- 21
- 21
- 21
- 20
- 20
- 20
- 19
- 19
- 19
- 17
- 17
- 15
- 15
- 15
- 15
- 14
- 14
- 13
- 13
- 13
- 13
- Survey on Visual Signal Coding and Processing With Generative Models: Technologies, Standards, and Optimization12
This paper provides a survey of the latest developments in visual signal coding and processing with generative models, and presents the latest advancements in fast optimization on visual signal coding and processing with generative models.
- 12
- 12
- 12
- 11
- 11
- 11
- 11
- 11
- 10
- 10
- 9
- 9
- 9
- 9
- 8
- 8
- 8
- 8
- 7
- UIGR: Unified Interactive Garment Retrieval7
This paper proposes a Unified Interactive Garment Retrieval (UIGR) framework to unify TGR and VCR, and contributes a large-scale benchmark suited for both problems.
- Intra Encoding Complexity Control with a Time-Cost Model for Versatile Video Coding7
Experimental results show that, for the challenging intra coding scenario, the complexity error quickly converges to under 3.21%, while keeping a reasonable time saving and rate-distortion (RD) performance, which proves the efficiency of the proposed methods.
- 7
- 7
- 6
- 6
- 6
- 6
- 6
- Hierarchical Reinforcement Learning Based Video Semantic Coding for Segmentation6
This paper proposes the Hierarchical Reinforcement Learning based task-driven Video Semantic Coding, named as HRLVSC, and divides the action space into frame-level and CTU-level spaces in a hierarchical manner, and designs a simple but effective mode simplification strategy for it.
- 6
- 6
- 6
- 6
- 6
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 5
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 4
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- Generative Model Watermarking Suppressing High-Frequency Artifacts2
The main idea of the proposed framework is to design a new watermark embedding network that can suppress high-frequency artifacts by applying anti-aliasing, which indicates that the marked model not only maintains the performance very well on the original task, but also demonstrates better imperceptibility and robustness on the watermarking task.
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- MotionDreamer: Generating Continuous Intermediate Motions for Complex Motion Interpolation–
MotionDreamer is a novel framework that instills effective motion priors for all intermediate frames to video generators by regularizing diffusion training with ground truth continuous intermediate motions and collects the first open-source large-scale dataset, VFIVid, for complex motion interpolation.
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
- –
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
Report an error
Wrong papers, two people merged into one, or a profile that should not be here? Tell us and we will fix or hide it.